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Automatic Skeleton-Based Compilation through Integration with an Algorithm Classification

Cedric Nugteren, Pieter Custers, Henk Corporaal

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, OpenCL, OpenMP

August 7, 2013 by hgpu

Fast Computation of Computer-generated Hologram Using Xeon Phi Coprocessors

Koki Murano, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito

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Tags: Computer holography, Computer science, Intel Phi, OpenMP

July 31, 2013 by hgpu

From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation

Marek Blazewicz, Ian Hinder, David M. Koppelman, Steven R. Brandt, Milosz Ciznicki, Michal Kierzynka, Frank Loffler, Erik Schnetter, Jian Tao

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Tags: Code generation, Computational Physics, CUDA, Differential equations, Finite difference, MPI, nVidia, OpenMP, Partial differential equations, PDEs, Physics, Tesla M2050

July 25, 2013 by hgpu

Comparative study of parallel programming models for multicore computing

Akhtar Ali

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Tags: Benchmarking, Computer science, DSP, Heterogeneous systems, nVidia, OpenCL, OpenMP, Tesla M2050, Thesis

July 7, 2013 by hgpu

Intel Xeon Phi Coprocessor High-Performance Programming

Jim Jeffers, James Jeffers, James Reinders

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Source codes

Tags: Book, Computer science, Intel, Intel Phi, OpenMP, Package, Review

June 30, 2013 by hgpu

Best Practice Guide – Intel Xeon Phi

Michaela Barth, Mikko Byckling, Nevena Ilieva, Sami Saarinen, Michael Schliephake, Volker Weinberg

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Tags: Computer science, Intel, Intel Phi, OpenMP, Review

June 30, 2013 by hgpu

Parallelization of specialized fluid flow simulator based on lattice Boltzmann method on a multi GPU system

Tijana Dukic, Marko Topalovic, Nenad Filipovic

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Tags: CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, OpenMP, Tesla C1060

June 25, 2013 by hgpu

Space Charge Dominated Envelope Dynamics Using GPUs

N. Kulabukhova

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Tags: High Energy Physics - Experiment, nVidia, OpenMP, Physics, Tesla S2050

June 17, 2013 by hgpu

Multicore and GPU Parallelization of Neural Networks for Face Recognition

Altaf Ahmad Huqqani, Erich Schikuta, Sicen Ye, Peng Chen

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, OpenMP, Tesla C1060

June 16, 2013 by hgpu

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET

Kyung Sang Kim, Young Don Son, Zang Hee Cho, Jong Beom Ra, and Jong Chul Ye

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Tags: CUDA, Image processing, Monte Carlo simulation, nVidia, OpenMP, PET, Tesla C1060

June 14, 2013 by hgpu

Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA

Maida Arnautovic, Maida Curic, Emina Dolamic, Novica Nosovic

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 420 M, OpenMP, Optimization, Path problems

May 30, 2013 by hgpu

Performance Portability in Accelerated Parallel Kernels

John A. Stratton, Hee-Seok Kim, Thoman B. Jablin, Wen-Mei W. Hwu

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Tags: Computer science, Heterogeneous systems, OpenCL, OpenMP, Performance

May 27, 2013 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Automatic Skeleton-Based Compilation through Integration with an Algorithm Classification

Fast Computation of Computer-generated Hologram Using Xeon Phi Coprocessors

From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation

Comparative study of parallel programming models for multicore computing

Intel Xeon Phi Coprocessor High-Performance Programming

Best Practice Guide – Intel Xeon Phi

Parallelization of specialized fluid flow simulator based on lattice Boltzmann method on a multi GPU system

Space Charge Dominated Envelope Dynamics Using GPUs

Multicore and GPU Parallelization of Neural Networks for Face Recognition

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET

Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA

Performance Portability in Accelerated Parallel Kernels

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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